Research on Fault Diagnosis Expert System of CNC Machine Tool Based on Expert Knowledge

CNC machine tools play a pivotal role in the manufacturing field. Due to the complexity and diversity of faults, experienced engineers who can quickly locate the cause of faults are rather scarce. This paper takes expert knowledge in the field of fault diagnosis as the research object and proposes an ontology-based knowledge expression structure to improve fault retrieval efficiency and fault diagnosis accuracy; then applies the SimRank algorithm to calculate the similarity between fault phenomena and fault causes in the case base to guide the work of maintenance engineers. Finally, this paper introduces the diagnosis process of machine tool fault diagnosis expert system with Siemens 808d CNC system as a case study.